نتایج جستجو برای: comprehensible input
تعداد نتایج: 223413 فیلتر نتایج به سال:
The issue of classification is still a topic of discussion in many current articles. Most of the models presented in the articles suffer from a lack of explanation for a reason comprehensible to humans. One way to create explainability is to separate the weights of the network into positive and negative parts based on the prototype. The positive part represents the weights of the correct class ...
Abstract This study contributes to the explicit implicit debate by investigating which extent adult learners of Hungarian develop knowledge new grammar rules, and proficiency use them, through listening activities complemented with instruction or not. In a quasi-experimental study, we compared acquisition three specific rules 80 Flemish students in two conditions. Both methods involved activiti...
Listening comprehension plays a significant role in developing foreign language learning and it can be considered as a useful skill to gain sufficient comprehensible input. The current research sought to explore the effectiveness of using reactive/ performance versus intensive one on Iranian intermediate English learners’ listening comprehension ability. It was carried out at Kish English Langu...
abstract tasks nowadays are at the center of attention in sla research. task types is one of the critical issues in this regard, their effectiveness and suitability to any particular context, their characteristics and the result they yield are among some of these issues. on the other hand, discourse markers (dms) have been very much investigated and their effectiveness in conveying the meaning...
Large databases are routinely being collected in government, science, business and medicine. A variety of techniques from statistics, signal processing, pattern recognition, machine learning, and neural networks have been proposed to help people understand the data by discovering predictive models of the data. However, research in data mining has not paid attention to the factors that make lear...
Supervised classiication is one of the most active areas of machine learning research. Most work has focused on classiication in static domains, where an instantaneous snapshot of attributes is meaningful. In many domains, attributes are not static; in fact, it is the way they vary temporally that can make classiication possible. Examples of such domains include speech recognition, gesture reco...
We propose a method for generating comprehensible explanations in description logic. Such explanations could be of potential use for e.g. engineers, doctors, and users of the semantic web. Users commonly need to understand why a logical statement follows from a set of hypotheses. Then, automatically generated explanations that are easily understandable could be of help. A proof system for descr...
We introduce a new method of sign language subtitling aimed at young deaf children who have not acquired reading skills yet, and can communicate only via signs. The method is based on: 1) the recently developed concept of “semantroidTM” (an animated 3D avatar limited to head and hands); 2) the design, development, and psychophysical evaluation of a highly comprehensible model of the semantroid;...
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